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Biogeography-based optimization = al...

Zheng, Yujun.

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Biogeography-based optimization = algorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biogeography-based optimization/ by Yujun Zheng ... [et al.].
Reminder of title:	algorithms and applications /
other author:	Zheng, Yujun.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xi, 221 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- The basic biogeography-based optimization -- Localized basic biogeography-based optimization: Improved by local topologies -- Ecogeography-based optimization: Improved by new migration mechanisms -- Hybridization with other algorithms -- Applications in transportation -- Applications in image processing -- Applications in neural network learning.
Contained By:	Springer eBooks
Subject:	Natural computation. -
Online resource:	https://doi.org/10.1007/978-981-13-2586-1
ISBN:	9789811325861

Biogeography-based optimization = algorithms and applications /
Biogeography-based optimizationalgorithms and applications /[electronic resource] :by Yujun Zheng ... [et al.]. - Singapore :Springer Singapore :2019. - xi, 221 p. :ill., digital ;24 cm.

Introduction -- The basic biogeography-based optimization -- Localized basic biogeography-based optimization: Improved by local topologies -- Ecogeography-based optimization: Improved by new migration mechanisms -- Hybridization with other algorithms -- Applications in transportation -- Applications in image processing -- Applications in neural network learning.

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors' recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

ISBN: 9789811325861

Standard No.: 10.1007/978-981-13-2586-1doiSubjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Biogeography-based optimization = algorithms and applications /
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245 0 0 $a Biogeography-based optimization $h [electronic resource] : $b algorithms and applications / $c by Yujun Zheng ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xi, 221 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- The basic biogeography-based optimization -- Localized basic biogeography-based optimization: Improved by local topologies -- Ecogeography-based optimization: Improved by new migration mechanisms -- Hybridization with other algorithms -- Applications in transportation -- Applications in image processing -- Applications in neural network learning.
520 $a This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors' recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.
650 0 $a Natural computation. $3 1002233
650 0 $a Computer algorithms. $3 523872
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Algorithms. $3 536374
650 2 4 $a Optimization. $3 891104
650 2 4 $a Biogeosciences. $3 893817
700 1 $a Zheng, Yujun. $3 3381801
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-13-2586-1
950 $a Intelligent Technologies and Robotics (Springer-42732)